Articles | Volume 18, issue 2
https://doi.org/10.5194/gmd-18-461-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-461-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The very-high-resolution configuration of the EC-Earth global model for HighResMIP
Eduardo Moreno-Chamarro
CORRESPONDING AUTHOR
Barcelona Supercomputing Center (BSC), Barcelona, Spain
now at: Max Planck Institute for Meteorology, Hamburg, Germany
now at: CIRAD, UMR AMAP, 34398 Montpellier, France
Thomas Arsouze
Barcelona Supercomputing Center (BSC), Barcelona, Spain
now at: CIRAD, UMR AMAP, 34398 Montpellier, France
Mario Acosta
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Pierre-Antoine Bretonnière
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Miguel Castrillo
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Eric Ferrer
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Amanda Frigola
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Daria Kuznetsova
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Eneko Martin-Martinez
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Pablo Ortega
Barcelona Supercomputing Center (BSC), Barcelona, Spain
Sergi Palomas
Barcelona Supercomputing Center (BSC), Barcelona, Spain
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Cited
10 citations as recorded by crossref.
- AI-Based Spatial Downscaling of Surface Wind Fields over the Barents and Kara Seas V. Rezvov et al.
- Future Projections of Marine Heatwaves in the Northern Indian Ocean Using the HighResMIP Models: Role of Horizontal Resolution and Percentile Thresholds A. Mishra et al.
- A pilot variational coupled reanalysis based on the CESAM climate model A. Köhl et al.
- Increased resolution can reduce model biases in the Interdecadal Pacific Oscillation B. Pang et al.
- The Atmosphere, Ocean and Sea Ice Coupled Model for Medium-range Weather Prediction R. Fadeev et al.
- Climate Projections and Time Series Analysis over Roma Fiumicino Airport Using COSMO-CLM: Insights from Advanced Statistical Methods E. Bucchignani
- Convolutional autoencoder latent-space modeling with climate-index–conditioned recurrent networks for assessing subseasonal potential forecast skill of the Baltic Sea heat content A. Hayatijozani et al.
- Effect of horizontal resolution in North Atlantic mixing and ocean circulation in the EC-Earth3P HighResMIP simulations E. Martin-Martinez et al.
- Advances in atmospheric, oceanic, and coupled models for meteorological forecasting M. Waqas et al.
- The North Atlantic mean state in mesoscale eddy-resolving coupled models: a multimodel study A. Frigola et al.
10 citations as recorded by crossref.
- AI-Based Spatial Downscaling of Surface Wind Fields over the Barents and Kara Seas V. Rezvov et al.
- Future Projections of Marine Heatwaves in the Northern Indian Ocean Using the HighResMIP Models: Role of Horizontal Resolution and Percentile Thresholds A. Mishra et al.
- A pilot variational coupled reanalysis based on the CESAM climate model A. Köhl et al.
- Increased resolution can reduce model biases in the Interdecadal Pacific Oscillation B. Pang et al.
- The Atmosphere, Ocean and Sea Ice Coupled Model for Medium-range Weather Prediction R. Fadeev et al.
- Climate Projections and Time Series Analysis over Roma Fiumicino Airport Using COSMO-CLM: Insights from Advanced Statistical Methods E. Bucchignani
- Convolutional autoencoder latent-space modeling with climate-index–conditioned recurrent networks for assessing subseasonal potential forecast skill of the Baltic Sea heat content A. Hayatijozani et al.
- Effect of horizontal resolution in North Atlantic mixing and ocean circulation in the EC-Earth3P HighResMIP simulations E. Martin-Martinez et al.
- Advances in atmospheric, oceanic, and coupled models for meteorological forecasting M. Waqas et al.
- The North Atlantic mean state in mesoscale eddy-resolving coupled models: a multimodel study A. Frigola et al.
Saved (final revised paper)
Latest update: 24 May 2026
Short summary
We present the high-resolution model version of the EC-Earth global climate model to contribute to HighResMIP. The combined model resolution is about 10–15 km in both the ocean and atmosphere, which makes it one of the finest ever used to complete historical and scenario simulations. This model is compared with two lower-resolution versions, with a 100 km and a 25 km grid. The three models are compared with observations to study the improvements thanks to the increased resolution.
We present the high-resolution model version of the EC-Earth global climate model to contribute...